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root mean sq mean [ ∂X ( ZMD ENACTS rainfall ALL monthly rfe_merged ) climatology ] : ∂X Monthly Rainfall data
ENACTS rainfall ALL monthly rfe_merged partial_X partial_X partial_X ∂X Monthly Rainfall from ZMD: Zambia Meteorological Department. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 east
- history
- $partialdiff sub X$ [ ZMD ENACTS rainfall ALL monthly rfe_merged ] climatology
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2023] minimum 0.0% data present
mean [ $partialdiff sub X$ ( ZMD ENACTS rainfall ALL monthly rfe_merged ) climatology ]- Averaged over X[21.7125E, 33.8625E] minimum 0.0% data present
root mean sq mean [ $partialdiff sub X$ ( ZMD ENACTS rainfall ALL monthly rfe_merged ) climatology ]- Averaged over Y[18.20625S, 8.081249S] T[Jan, Dec] minimum 0.0% data present
- Boxes with less than 0.0% dropped
Last updated: Thu, 12 Dec 2024 15:16:42 GMT
Expires: Sat, 21 Dec 2024 00:00:00 GMT
Data Views
 root mean sq mean [ $partialdiff sub X$ ( ZMD ENACTS rainfall ALL monthly rfe_merged ) climatology ] [ |] |
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units